Dans cette troisième occurence Post-Covid, Sébastien Rumley nous présentera ses outils d’aide à l’expérimentation scientifique. De manière générale, le chercheur se focalise beaucoup sur le code qui extrait ou génère des données puis des résultats, mais très peu sur le code, les scripts voire les procédures manuelles qui lancent ce même code avec les bons […]
Join us at ICDAR 2021 in Lausanne from 5 to 10th of September 2021. As academic sponsor, iCoSys is involved in the organisation of the International Conference on Document Analysis and Recognition. This is the main and biggest conference for the research community active in document analysis and recognition, a field of growing importance in the current age of digital transition.
Machine Learning achieves good success for automatic fall detection based on wearable sensors. Our iCoSys members Nicolas Zurbuchen and Pascal Bruegger, in collaboration with Adriana Wilde from the Centre for Health Technologies at the University of Southampton defined new state of the art results in their publication in Sensors magazine (Sensors 2021, 21(3), 938; https://doi.org/10.3390/s21030938). Congrats to them. […]
iCoSys extends its deep learning micro-services library with Colorizer, a service able to re-colour black and white photographies. Check it out at here. Colorizer includes several interesting features. First, a slick and intuitive web showcase is there to allow you easily drag and drop black and white images and re-colour them in an instant. Second, […]
iCoSys is a proud contributor of Cryfe, the software that analyzes the authenticity of your words. This project is a two years old baby, in partnership with CM Profiling, Idiap Research Institute and funded by Innosuisse. Listen to our collaborators dr. Oussama Zayene and dr. Beat Wolf to know more about the work they have been […]
The project ADVANCe is coming to an end after 2 years of development with CM-Profiling and the IDIAP research institute. Over the course of those 2 years, an innovative solution was developed to assists interviewers during job interviews. Based on machine learning algorithms, a complex data analysis platform has been developed from scratch to detect […]